PROCEEDINGS IPMU '08
Cumulative and Averaging Unfusion of Beliefs
Audun Jřsang.
Belief fusion is the principle of combining
separate beliefs or bodies of evidence
originating from different sources. Depending
on the situation to be modelled,
different belief fusion methods can be applied.
Cumulative and averaging belief fusion
is defined for fusing opinions in subjective
logic, and for fusing belief functions
in general. The principle of unfusion
is the opposite of fusion, namely to eliminate
the contribution of a specific belief
from an already fused belief, with the purpose
of deriving the remaining belief. This
paper describes unfusion of cumulative belief
as well as unfusion of averaging belief
in subjective logic. These operators can
for example be applied to belief revision in
Bayesian belief networks, where the belief
contribution of a given evidence source can
be determined as a function of a given fused
belief and its other contributing beliefs.
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